This paper presents an investigation into the use of occupancy space electrical power
demand to mimic occupants' activities in building cooling load prediction by intelligent …

Building cooling load prediction is one of the key factors in the success of energy-saving
measures. Many computational models available in the industry today have been developed …

Due to the impact of occupants' activities in buildings, the relationship between electricity
demand and ambient temperature will show different trends in the long-term and short-term …

Predicting the load in a building is essential for the optimal control of heating, ventilating and
air-conditioning (HVAC) systems that use Ice Thermal Energy Storage (ITES) technology …

Building cooling load prediction is one of the key factors in the success of energy-saving
measures. Many computational models available in the industry have been developed from …

Cooling load prediction is important and essential for many building energy efficient
controls, such as morning start control of chiller plant. However, most of the existing methods …

Data-mining approaches for improving building cooling load predictions are presented and
analyzed on different training time scales (T-1 to T-6) in this paper. Multiple linear regression …

This study presents a methodology to forecast diurnal cooling load energy consumption for
institutional buildings using data driven techniques. The cases for three institutional …

Dynamic cooling and heating load forecasting of heating, ventilation and air conditioning
(HVAC) systems is a basis for optimizing the operation of HVAC systems and can contribute …

Energy conservation and indoor environment concerns have motivated extensive research
on various aspects of control of Heating, Ventilating and Air-Conditioning (HVAC) and …